Evidence map›Paper›PMID 35162078›Full record

ArticleInternational journal of environmental research and public health2022

Utilization of Palliative Care Screening Tool to Early Identify Patients with COVID-19 Needing Palliative Care: A Cohort Study.

Yung-Feng Yen, Hsiao-Yun Hu, Yi-Chang Chou, Chu-Chieh Chen, Chin-Yu Ho

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yung-Feng YenSection of Infectious Diseases, Taipei City Hospital, Yangming Branch, Taipei 112, Taiwan.ORCID 0000-0002-4469-4732
Hsiao-Yun HuInstitute of Public Health, National Yang-Ming Chiao Tung University, Taipei 112, Taiwan.ORCID 0000-0003-3604-3494
Yi-Chang ChouDepartment of Education and Research, Taipei City Hospital, Taipei 106, Taiwan.ORCID 0000-0002-7478-0105
Chu-Chieh ChenDepartment of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei 112, Taiwan.
Chin-Yu HoSchool of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.

Funding

Department of Health, Taipei City Government, Taiwan No. 10801-62-006; No. TPCH-110-45
6 · The paper itself

Abstract

There are very few programs that identify patients with coronavirus disease 2019 (COVID-19) who need palliative care. This cohort study presents a model to use a validated palliative care screening tool (PCST) to systematically identify hospitalized patients with COVID-19 in need of palliative care. In this prospective study, we consecutively recruited patients with COVID-19 admitted to Taipei City Hospital between 1 January and 30 July 2021. Patients' palliative care needs were determined by using the PCST. Advance care planning (ACP) and advance directives (AD) were systemically provided for all patients with a PCST score ≥ 4. Of 897 patients, 6.1% had a PCST score ≥ 4. During the follow-up period, 106 patients died: 75 (8.9%) with a PCST score < 4 and 31 (56.4%) with a PCST score ≥ 4. The incidence of mortality was 2.08 and 0.58/100 person-days in patients with PCST scores ≥ 4 and <4, respectively. After controlling for other covariates, a PCST score ≥ 4 was associated with a higher risk of mortality in patients with COVID-19 (adjusted HR = 2.08; 95% CI: 1.22-3.54;

Indexed as

COVID-19Cohort StudiesHumansPalliative CareProspective StudiesSARS-CoV-2advance care planningadvance directiveCOVID-19palliative care programpalliative care screening toolprospective study

Identifiers

PMID35162078
PMCPMC8834527

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.